|Publication number||US7068811 B2|
|Application number||US 10/113,398|
|Publication date||27 Jun 2006|
|Filing date||27 Mar 2002|
|Priority date||31 Jul 1992|
|Also published as||CA2101673A1, CA2101673C, CA2504316A1, CA2504316C, EP0581317A2, EP0581317A3, US5721788, US5809160, US5930377, US6072888, US6137892, US6307950, US6317505, US6385330, US6459803, US6614915, US6628801, US6678392, US7062070, US7068812, US7136503, US7280672, US7412074, US7593545, US7978876, US20020037090, US20020044673, US20020061119, US20020181740, US20030026450, US20050117776, US20050147275, US20050147276, US20070019837, US20070086619, US20080298703, US20100220934|
|Publication number||10113398, 113398, US 7068811 B2, US 7068811B2, US-B2-7068811, US7068811 B2, US7068811B2|
|Inventors||Robert D. Powell, Mark Nitzberg|
|Original Assignee||Digimarc Corporation|
|Export Citation||BiBTeX, EndNote, RefMan|
|Patent Citations (100), Non-Patent Citations (29), Referenced by (23), Classifications (57), Legal Events (10)|
|External Links: USPTO, USPTO Assignment, Espacenet|
The present application is a continuation of Application Ser. No. 09/408,878, filed Sep. 29, 1999, (now abandoned) which is a continuation of Application Ser. No. 09/317,784, filed May 24, 1999 (now U.S. Pat. No. 6,072,888, issued Jun. 6, 2000), which is a continuation of Application Ser. No. 09/074,632, filed May 7, 1998 (now U.S. Pat. No. 5,930,377, issued Jul. 27, 1999), which is a continuation of Application Ser. No. 08/969,072, filed Nov. 12, 1997 (now U.S. Pat. No. 5,809,160, issued Sep. 15, 1998), which is a continuation of Application Ser. No. 07/923,841, filed Jul. 31, 1992 (now U.S. Pat. No. 5,721,788, issued Feb. 24, 1998), the entire contents of each of these applications being incorporated herein by reference.
1. Field of the Invention
This invention relates to a method of and system for encoding a signature into a digital image and auditing a digital subject image to determine if it was derived from the encoded image.
2. Description of the Background
Various images in traditional print or photographic media are commonly distributed to many users. Examples include the distribution of prints of paintings to the general public and photographs and film clips to and among the media. Owners may wish to audit usage of their images in print and electronic media, and so require a method to analyze print, film and digital images to determine if they were obtained directly from the owners or derived from their images. For example, the owner of an image may desire to limit access or use of the image. To monitor and enforce such a limitation, it would be beneficial to have a method of verifying that a subject image is copied or derived from the owner's image. The method of proof should be accurate and incapable of being circumvented. Further, the method should be able to detect unauthorized copies that have been resized, rotated, cropped, or otherwise altered slightly.
In the computer field, digital signatures have been applied to non-image digital data in order to identify the origin of the data. For various reasons these prior art digital signatures have not been applied to digital image data. One reason is that these prior art digital signatures are lost if the data to which they are applied are modified. Digital images are often modified each time they are printed, scanned, copied, or photographed due to unintentional “noise” created by the mechanical reproduction equipment used. Further, it is often desired to resize, rotate, crop or otherwise intentionally modify the image. Accordingly, the existing digital signatures are unacceptable for use with digital images.
The invention includes a method and system for embedding image signatures within visual images, applicable in the preferred embodiments described herein to digital representations as well as other media such as print or film. The signatures identify the source or ownership of images and distinguish between different copies of a single image. In preferred embodiments, these signatures persist through image transforms such as resizing and conversion to or from print or film and so provide a method to track subsequent use of digital images including derivative images in print or other form.
In a preferred embodiment described herein, a plurality of signature points are selected that are positioned within an original image having pixels with pixel values. The pixel values of the signature points are adjusted by an amount detectable by a digital scanner. The adjusted signature points form a digital signature that is stored for future identification of subject images derived from the image.
The preferred embodiment of the invention described herein embeds a signature within the original image by locating candidate points such as relative extrema in the pixel values. Signature points are selected from among the candidate points and a data bit is encoded at each signature point by adjusting the pixel value at and surrounding each point. Preferably, the signature is redundantly embedded in the image such that any of the redundant representations can be used to identify the signature. The signature is stored for later use in identifying a subject image.
According to a preferred embodiment, the identification of a subject image includes ensuring that the subject image is normalized, i.e., of the same size, rotation, and brightness level as the original image. If not already normalized, the subject image is normalized by aligning and adjusting the luminance values of subsets of the pixels in the subject image to match corresponding subsets in the original image. The normalized subject image is then subtracted from the original image and the result is compared with the stored digital signature. In an alternate embodiment, the normalized subject image is compared directly with the signed image.
The present invention includes a method and system for embedding a signature into an original image to create a signed image. A preferred embodiment includes selecting a large number of candidate points in the original image and selecting a number of signature points from among the candidate points. The signature points are altered slightly to form the signature. The signature points are stored for later use in auditing a subject image to determine whether the subject image is derived from the signed image.
The signatures are encoded in the visible domain of the image and so become part of the image and cannot be detected or removed without prior knowledge of the signature. A key point is that while the changes manifested by the signature are too slight to be visible to the human eye, they are easily and consistently recognizable by a common digital image scanner, after which the signature is extracted, interpreted and verified by a software algorithm.
In contrast to prior art signature methods used on non-image data, the signatures persist through significant image transformations that preserve the visible image but may completely change the digital data. The specific transforms allowed include resizing the image larger or smaller, rotating the image, uniformly adjusting color, brightness and/or contrast, and limited cropping. Significantly, the signatures persist through the process of printing the image to paper or film and rescanning it into digital form.
An example of the output of the scanner 20 to the computer 12 is a digital image 24 shown in
The digital image 24 is depicted using numerous pixels 24 having various pixel values. In the gray-scale image 24 the pixel values are luminance values representing a brightness level varying from black to white. In a color image the pixels have color values and luminance values, both of which being pixel values. The color values can include the values of any components in a representation of the color by a vector.
The digital image 24 shown in
According to a preferred embodiment of the invention numerous candidate points are located within the original image. Signature points are selected from among the candidate points and are altered to form a signature. The signature is a pattern of any number of signature points. In a preferred embodiment, the signature is a binary number between 16 and 32 bits in length. The signature points may be anywhere within an image, but are preferably chosen to be as inconspicuous as possible. Preferably, the number of signature points is much greater than the number of bits in a signature. This allows the signature to be redundantly encoded in the image. Using a 16 to 32 bit signature, 50–200 signature points are preferable to obtain multiple signatures for the image.
A preferred embodiment of the invention locates candidate points by finding relative maxima and minima, collectively referred to as extrema, in the image. The extrema represent local extremes of luminance or color.
Relative extrema are preferred signature points for two major reasons. First, they are easily located by simple, well known processing. Second, they allow signature points to be encoded very inconspicuously.
One of the simplest methods to determine relative extrema is to use a “Difference of Averages” technique. This technique employs predetermined neighborhoods around each pixel 26; a small neighborhood 28 and a large neighborhood 30, as shown in
Using the image of
Based on pixels 26A–26G, there may be a relative maximum at pixel 26D, whose Difference of Averages of 1.59 is greater than the Difference of Averages for the other examined pixels in the row. To determine whether pixel 26D is a relative maximum rather than merely a small undulation, its Difference of Averages must be compared with the Difference of Averages for the pixels surrounding it in a larger area.
Preferably, extrema within 10% of the image size of any side are not used as signature points. This protects against loss of signature points caused by the practice of cropping the border area of an image. It is also preferable that relative extrema that are randomly and widely spaced are used rather than those that appear in regular patterns.
Using the Difference of Averages technique or other known techniques, a large number of extrema are obtained, the number depending on the pixel density and contrast of the image. Of the total number of extrema found, a preferred embodiment chooses 50 to 200 signature points. This may be done manually by a user choosing with the keyboard 16, mouse 18, or other pointing device each signature point from among the extrema displayed on the display monitor 14. The extrema may be displayed as a digital image with each point chosen by using the mouse or other pointing device to point to a pixel or they may be displayed as a list of coordinates which are chosen by keyboard, mouse, or other pointing device. Alternatively, the computer 12 can be programmed to choose signature points randomly or according to a preprogrammed pattern.
One bit of binary data is encoded in each signature point in the image by adjusting the pixel values at and surrounding the point. The image is modified by making a small, preferably 2%–10% positive or negative adjustment in the pixel value at the exact signature point, to represent a binary zero or one. The pixels surrounding each signature point, in approximately a 5×5 to 10×10 grid, are preferably adjusted proportionally to ensure a continuous transition to the new value at the signature point. A number of bits are encoded in the signature points to form a pattern which is the signature for the image.
In a preferred embodiment, the signature is a pattern of all of the signature points. When auditing a subject image, if a statistically significant number of potential signature points in the subject image match corresponding signature points in the signed image, then the subject image is deemed to be derived from the signed image. A statistically significant number is somewhat less than 100%, but enough to be reasonably confident that the subject image was derived from the signed image.
In an alternate embodiment, the signature is encoded using a redundant pattern that distributes it among the signature points in a manner that can be reliably retrieved using only a subset of the points. One embodiment simply encodes a predetermined number of exact duplicates of the signature.
Other redundant representation methods, such as an error-correcting code, may also be used.
In order to allow future auditing of images to determine whether they match the signed image, the signature is stored in a database in which it is associated with the original image. The signature can be stored by associating the bit value of each signature point together with x-y coordinates of the signature point. The signature may be stored separately or as part of the signed image. The signed image is then distributed in digital form.
As discussed above, the signed image may be transformed and manipulated to form a derived image. The derived image is derived from the signed image by various transformations, such as resizing, rotating, adjusting color, brightness and/or contrast, cropping and converting to print or film. The derivation may take place in multiple steps or processes or may simply be the copying of the signed image directly.
It is assumed that derivations of these images that an owner wishes to track include only applications which substantially preserve the resolution and general quality of the image. While a size reduction by 90%, a significant color alteration or distinct-pixel-value reduction may destroy the signature, they also reduce the image's significance and value such that no auditing is desired.
In order to audit a subject image according to a preferred embodiment, a user identifies the original image of which the subject image is suspected of being a duplicate. For a print or film image, the subject image is scanned to create a digital image file. For a digital image, no scanning is necessary. The subject digital image is normalized using techniques as described below to the same size, and same overall brightness, contrast and color profile as the unmodified original image. The subject image is analyzed by the method described below to extract the signature, if present, and compare it to any signatures stored for that image.
The normalization process involves a sequence of steps to undo transformations previously made to the subject image, to return it as close as possible to the resolution and appearance of the original image. It is assumed that the subject image has been manipulated and transformed as described above. To align the subject image with the original image, a preferred embodiment chooses three or more points from the subject image which correspond to points in the original image. The three or more points of the subject image are aligned with the corresponding points in the original image. The points of the subject image not selected are rotated and resized as necessary to accommodate the alignment of the points selected.
After the subject image is aligned, the next step is to normalize the brightness, contrast and/or color of the subject image. Normalizing involves adjusting pixel values of the subject image to match the value-distribution profile of the original image. This is accomplished by a technique analogous to that used to align the subject image. A subset of the pixels in the subject image are adjusted to equal corresponding pixels in the original image. The pixels not in the subset are adjusted in proportion to the adjustments made to the pixels in the subset. The pixels of the subject image corresponding to the signature points should not be among the pixels in the subset. Otherwise any signature points in the subject image will be hidden from detection when they are adjusted to equal corresponding pixels in the original image.
In a preferred embodiment, the subset includes the brightest and darkest pixels of the subject image. These pixels are adjusted to have luminance values equal to the luminance values of corresponding pixels in the original image. To ensure that any signature points can be detected, no signature points should be selected during the signature embedding process described above that are among the brightest and darkest pixels of the original image. For example, one could use pixels among the brightest and darkest 3% for the adjusting subset, after selecting signature points among less than the brightest and darkest 5% to ensure that there is no overlap.
When the subject image is fully normalized, it is preferably compared to the original image. One way to compare images is to subtract one image from the other. The result of the subtraction is a digital image that includes any signature points that were present in the subject image. These signature points, if any, are compared to the stored signature points for the signed image. If the signature points do not match, then the subject image is not an image derived from the signed image, unless the subject image was changed substantially from the signed image.
In an alternative embodiment, the normalized subject image is compared directly with the signed image instead of subtracting the subject image from the original image. This comparison involves subtracting the subject image from the signed image. If there is little or no image resulting from the subtraction, then the subject image equals to the signed image, and therefore has been derived from the signed image.
In another alternate embodiment, instead of normalizing the entire subject image, only a section of the subject image surrounding each potential signature point is normalized to be of the same general resolution and appearance as a corresponding section of the original image. This is accomplished by selecting each potential signature point of the subject image and selecting sections surrounding each potential signature point. The normalization of each selected section proceeds according to methods similar to those disclosed above for normalizing the entire subject image.
Normalizing each selected section individually allows each potential signature point of the subject image to be compared directly with a corresponding signature point of the signed image. Preferably, an average is computed for each potential signature point by averaging the pixel value of the potential signature point with the pixel values of a plurality of pixels surrounding the potential signature point. The average computed for each signature is compared directly with a corresponding signature point of the signed image.
While the methods of normalizing and extracting a signature from a subject image as described above are directed to luminance values, similar methods may be used for color values. Instead of or in addition to normalizing by altering luminance values, the color values of the subject image can also be adjusted to equal corresponding color values in an original color image. However, it is not necessary to adjust color values in order to encode a signature in or extract a signature from a color image. Color images use pixels having pixel values that include luminance values and color values. A digital signature can be encoded in any pixel values regardless of whether the pixel values are luminance values, color values, or any other type of pixel values. Luminance values are preferred because alterations may be made more easily to luminance values without the alterations being visible to the human eye.
From the foregoing it will be appreciated that, although specific embodiments of the invention have been described herein for purposes of illustration, various modifications may be made without deviating from the spirit and scope of the invention. Accordingly, the invention is not limited except as by the appended claims.
|Cited Patent||Filing date||Publication date||Applicant||Title|
|US2630525||25 May 1951||3 Mar 1953||Musicast Inc||System for transmitting and receiving coded entertainment programs|
|US3493674||18 May 1966||3 Feb 1970||Rca Corp||Television message system for transmitting auxiliary information during the vertical blanking interval of each television field|
|US3562420||12 Mar 1968||9 Feb 1971||Post Office||Pseudo random quantizing systems for transmitting television signals|
|US3569619||27 Jun 1968||9 Mar 1971||Simjian Luther G||Verification system using coded identifying and storage means|
|US3576369||19 Dec 1968||27 Apr 1971||Agfa Gevaert Ag||Method of making prints from photographic negatives|
|US3585290||29 Jan 1968||15 Jun 1971||Rca Corp||Coding arrangements for multiplexed messages|
|US3638188||17 Oct 1969||25 Jan 1972||Westinghouse Electric Corp||Classification method and apparatus for pattern recognition systems|
|US3655162||8 Oct 1970||11 Apr 1972||Symons Corp||Self-contained waler clamp assembly for concrete wall form|
|US3703628||29 Mar 1971||21 Nov 1972||Recognition Equipment Inc||System for document coding and identification|
|US3805238||9 May 1972||16 Apr 1974||Rothfjell R||Method for identifying individuals using selected characteristic body curves|
|US3809806||18 Oct 1972||7 May 1974||Columbia Broadcasting Syst Inc||Banding correction system for film recording apparatus|
|US3838444||30 Oct 1972||24 Sep 1974||Hazeltine Research Inc||System for transmitting auxiliary information in low energy density portion of color tv spectrum|
|US3845391||15 Jul 1971||29 Oct 1974||Audicom Corp||Communication including submerged identification signal|
|US3914877||8 Apr 1974||28 Oct 1975||Marion E Hines||Image scrambling technique|
|US3922074||24 Sep 1973||25 Nov 1975||Fuji Photo Film Co Ltd||Information storage and retrieval|
|US3971917||1 Aug 1974||27 Jul 1976||Maddox James A||Labels and label readers|
|US3977785||6 Jan 1975||31 Aug 1976||Xerox Corporation||Method and apparatus for inhibiting the operation of a copying machine|
|US3982064||5 Sep 1974||21 Sep 1976||The General Electric Company Limited||Combined television/data transmission system|
|US3984624||25 Jul 1974||5 Oct 1976||Weston Instruments, Inc.||Video system for conveying digital and analog information|
|US4025851||28 Nov 1975||24 May 1977||A.C. Nielsen Company||Automatic monitor for programs broadcast|
|US4184700||1 Sep 1978||22 Jan 1980||Lgz Landis & Gyr Zug Ag||Documents embossed with optical markings representing genuineness information|
|US4225967||9 Jan 1978||30 Sep 1980||Fujitsu Limited||Broadcast acknowledgement method and system|
|US4230990||16 Mar 1979||28 Oct 1980||Lert John G Jr||Broadcast program identification method and system|
|US4231113||11 Mar 1968||28 Oct 1980||International Business Machines Corporation||Anti-jam communications system|
|US4237484||8 Aug 1979||2 Dec 1980||Bell Telephone Laboratories, Incorporated||Technique for transmitting digital data together with a video signal|
|US4238849||19 Dec 1978||9 Dec 1980||International Standard Electric Corporation||Method of and system for transmitting two different messages on a carrier wave over a single transmission channel of predetermined bandwidth|
|US4252995||17 Feb 1978||24 Feb 1981||U.S. Philips Corporation||Radio broadcasting system with transmitter identification|
|US4262329||27 Mar 1978||14 Apr 1981||Computation Planning, Inc.||Security system for data processing|
|US4310180||23 Jul 1980||12 Jan 1982||Burroughs Corporation||Protected document and method of making same|
|US4313197||9 Apr 1980||26 Jan 1982||Bell Telephone Laboratories, Incorporated||Spread spectrum arrangement for (de)multiplexing speech signals and nonspeech signals|
|US4367488||1 May 1981||4 Jan 1983||Sterling Television Presentations Inc. Video Data Systems Division||Data encoding for television|
|US4379947||2 Feb 1979||12 Apr 1983||Teleprompter Corporation||System for transmitting data simultaneously with audio|
|US4380027||8 Dec 1980||12 Apr 1983||William Leventer||Data encoding for television|
|US4389671||29 Sep 1980||21 Jun 1983||Harris Corporation||Digitally-controlled analog encrypton|
|US4395600||26 Nov 1980||26 Jul 1983||Lundy Rene R||Auditory subliminal message system and method|
|US4416001||26 Nov 1980||15 Nov 1983||News Log International, Inc.||Method and apparatus for optically reading digital data inscribed in an arcuate pattern on a data carrier|
|US4423415||22 Jun 1981||27 Dec 1983||Light Signatures, Inc.||Non-counterfeitable document system|
|US4425642||8 Jan 1982||10 Jan 1984||Applied Spectrum Technologies, Inc.||Simultaneous transmission of two information signals within a band-limited communications channel|
|US4425661||3 Sep 1981||10 Jan 1984||Applied Spectrum Technologies, Inc.||Data under voice communications system|
|US4476468||10 Jun 1983||9 Oct 1984||Light Signatures, Inc.||Secure transaction card and verification system|
|US4488245||6 Apr 1982||11 Dec 1984||Loge/Interpretation Systems Inc.||Method and means for color detection and modification|
|US4495620||5 Aug 1982||22 Jan 1985||At&T Bell Laboratories||Transmitting data on the phase of speech|
|US4528588||25 Sep 1981||9 Jul 1985||Loefberg Bo||Method and apparatus for marking the information content of an information carrying signal|
|US4532508||1 Apr 1983||30 Jul 1985||Siemens Corporate Research & Support, Inc.||Personal authentication system|
|US4547804||21 Mar 1983||15 Oct 1985||Greenberg Burton L||Method and apparatus for the automatic identification and verification of commercial broadcast programs|
|US4553261||31 May 1983||12 Nov 1985||Horst Froessl||Document and data handling and retrieval system|
|US4590366||28 Jun 1984||20 May 1986||Esselte Security Systems Ab||Method of securing simple codes|
|US4595950||17 Dec 1984||17 Jun 1986||Loefberg Bo||Method and apparatus for marking the information content of an information carrying signal|
|US4637051||18 Jul 1983||13 Jan 1987||Pitney Bowes Inc.||System having a character generator for printing encrypted messages|
|US4639779||15 Oct 1985||27 Jan 1987||Greenberg Burton L||Method and apparatus for the automatic identification and verification of television broadcast programs|
|US4644582||24 Jan 1984||17 Feb 1987||Hitachi, Ltd.||Image registration method|
|US4647974||12 Apr 1985||3 Mar 1987||Rca Corporation||Station signature system|
|US4654867||11 Aug 1986||31 Mar 1987||Motorola, Inc.||Cellular voice and data radiotelephone system|
|US4660221||18 Jul 1983||21 Apr 1987||Pitney Bowes Inc.||System for printing encrypted messages with bar-code representation|
|US4663518||31 Oct 1985||5 May 1987||Polaroid Corporation||Optical storage identification card and read/write system|
|US4665431||16 Aug 1982||12 May 1987||Cooper J Carl||Apparatus and method for receiving audio signals transmitted as part of a television video signal|
|US4672605||20 Mar 1984||9 Jun 1987||Applied Spectrum Technologies, Inc.||Data and voice communications system|
|US4675746||30 Jun 1986||23 Jun 1987||Data Card Corporation||System for forming picture, alphanumeric and micrographic images on the surface of a plastic card|
|US4677435||16 Jul 1985||30 Jun 1987||Communaute Europeenne De L'energie Atomique (Euratom)||Surface texture reading access checking system|
|US4677466||29 Jul 1985||30 Jun 1987||A. C. Nielsen Company||Broadcast program identification method and apparatus|
|US4682794||22 Jul 1985||28 Jul 1987||Photon Devices, Ltd.||Secure identification card and system|
|US4697209||26 Apr 1984||29 Sep 1987||A. C. Nielsen Company||Methods and apparatus for automatically identifying programs viewed or recorded|
|US4703476||6 Nov 1986||27 Oct 1987||Audicom Corporation||Encoding of transmitted program material|
|US4712103||3 Dec 1985||8 Dec 1987||Motohiro Gotanda||Door lock control system|
|US4718106||12 May 1986||5 Jan 1988||Weinblatt Lee S||Survey of radio audience|
|US4739377||10 Oct 1986||19 Apr 1988||Eastman Kodak Company||Confidential document reproduction method and apparatus|
|US4750173||21 May 1986||7 Jun 1988||Polygram International Holding B.V.||Method of transmitting audio information and additional information in digital form|
|US4765656||15 Oct 1986||23 Aug 1988||Gao Gesellschaft Fur Automation Und Organisation Mbh||Data carrier having an optical authenticity feature and methods for producing and testing said data carrier|
|US4775901||2 Dec 1986||4 Oct 1988||Sony Corporation||Apparatus and method for preventing unauthorized dubbing of a recorded signal|
|US4776013||1 Apr 1987||4 Oct 1988||Rotlex Optics Ltd.||Method and apparatus of encryption of optical images|
|US4805020||14 Oct 1985||14 Feb 1989||Greenberg Burton L||Television program transmission verification method and apparatus|
|US4807031||20 Oct 1987||21 Feb 1989||Interactive Systems, Incorporated||Interactive video method and apparatus|
|US4811357||4 Jan 1988||7 Mar 1989||Paradyne Corporation||Secondary channel for digital modems using spread spectrum subliminal induced modulation|
|US4811408||13 Nov 1987||7 Mar 1989||Light Signatures, Inc.||Image dissecting document verification system|
|US4820912||19 Sep 1986||11 Apr 1989||N. V. Bekaert S.A.||Method and apparatus for checking the authenticity of documents|
|US4825393||22 Apr 1987||25 Apr 1989||Hitachi, Ltd.||Position measuring method|
|US4835517||20 Jun 1984||30 May 1989||The University Of British Columbia||Modem for pseudo noise communication on A.C. lines|
|US4855827||21 Jul 1987||8 Aug 1989||Worlds Of Wonder, Inc.||Method of providing identification, other digital data and multiple audio tracks in video systems|
|US4864618||17 Oct 1988||5 Sep 1989||Wright Technologies, L.P.||Automated transaction system with modular printhead having print authentication feature|
|US4866771||20 Jan 1987||12 Sep 1989||The Analytic Sciences Corporation||Signaling system|
|US4874936||8 Apr 1988||17 Oct 1989||United Parcel Service Of America, Inc.||Hexagonal, information encoding article, process and system|
|US4876617||5 May 1987||24 Oct 1989||Thorn Emi Plc||Signal identification|
|US4879747||21 Mar 1988||7 Nov 1989||Leighton Frank T||Method and system for personal identification|
|US4884139||23 Dec 1987||28 Nov 1989||Etat Francais, Represente Par Le Secretariat D'etat Aux Post Es Et Telecommunications (Centre National D'etudes Des Telecommunications)||Method of digital sound broadcasting in television channels with spectrum interlacing|
|US4885632||16 Mar 1988||5 Dec 1989||Agb Television Research||System and methods for monitoring TV viewing system including a VCR and/or a cable converter|
|US4903301||12 Feb 1988||20 Feb 1990||Hitachi, Ltd.||Method and system for transmitting variable rate speech signal|
|US4908836||11 Oct 1988||13 Mar 1990||Unisys Corporation||Method and apparatus for decoding multiple bit sequences that are transmitted simultaneously in a single channel|
|US4908873||13 May 1983||13 Mar 1990||Philibert Alex C||Document reproduction security system|
|US4918484||17 Oct 1988||17 Apr 1990||Fuji Photo Film Co., Ltd.||Picture frame number discriminating method and apparatus therefor|
|US4920503||27 May 1988||24 Apr 1990||Pc Connection, Inc.||Computer remote control through a video signal|
|US4921278||9 Nov 1988||1 May 1990||Chinese Academy Of Sciences||Identification system using computer generated moire|
|US4939515||30 Sep 1988||3 Jul 1990||General Electric Company||Digital signal encoding and decoding apparatus|
|US4941150||5 May 1988||10 Jul 1990||Victor Company Of Japan, Ltd.||Spread spectrum communication system|
|US4943973||31 Mar 1989||24 Jul 1990||At&T Company||Spread-spectrum identification signal for communications system|
|US4943976||13 Sep 1989||24 Jul 1990||Victor Company Of Japan, Ltd.||Spread spectrum communication system|
|US4944036||10 Aug 1987||24 Jul 1990||Hyatt Gilbert P||Signature filter system|
|US4963998||20 Apr 1989||16 Oct 1990||Thorn Em Plc||Apparatus for marking a recorded signal|
|US4965827||18 May 1988||23 Oct 1990||The General Electric Company, P.L.C.||Authenticator|
|US4967273||14 Feb 1989||30 Oct 1990||Vidcode, Inc.||Television program transmission verification method and apparatus|
|US20020090110 *||16 Aug 2001||11 Jul 2002||Braudaway Gordon Wesley||Protecting images with an image watermark|
|1||Arazi, et al., "Intuition, Perception, and Secure Communication," IEEE Transactions on Systems, Man, and Cybernetics, vol. 19, No. 5, Sep./Oct. 1989, pp. 1016-1020.|
|2||Claims submitted in U.S. Appl. No. 09/931,210 on Jan. 29, 2006.|
|3||de Castro et al. "Registration of translated and Rotated Images using Finite Fourier Transforms," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PAMI-9, No. 5, Sep. 1987, pp. 700-703.|
|4||Hara et al., "An Improved Method of Embedding Data Into Pictures by Modulo Masking," IEEE Transactions on Communications, 1988 vol. COM-36, No. 3, pp. 315-331.|
|5||Kassam, Signal Detection in Non-Gaussian Noise, Dowden & Culver, 1988, pp. 1-96.|
|6||Komatsu et al., "A Proposal on Digital Watermark in Document Image Communication and Its Application to Realizing a Signature," Electronics and Communications in Japan, Part 1, vol. 73, No. 5, 1990, pp. 22-23.|
|7||Komatsu et al., "Authentication System Using Concealed Image in Telematics," Memoirs of the School of Science and Engineering, Waseda Univ., No. 52, 1988, pp. 45-60.|
|8||Komatsu, N. "Information Security for Facsimile Communication," Journal of the Institute of Image Electronics Engineers of Japan, 1990, vol. 19 No. 4, pp. 229-235.|
|9||Kurak et al., "A Cautionary Note On Image Downgrading," 1992 IEEE, pp. 153-159.|
|10||Nakamura et al., "A Unified Coding Method of Dithered Image and Text Data Using Micropatterns," Electronics and Communications in Japan, Part I, vol. 72, No. 4, 1989, pp. 50-56.|
|11||Nakamura et al., "A Unified Coding Method of Image and Text Data Using Discrete Orthogonal Transform," Systems and Computers in Japan, vol. 21, No. 3, 1990, pp. 87-92.|
|12||Office Action mailed Jul. 12, 2005 in U.S. Appl. No. 09/931,210.|
|13||Pickholtz et al., "Theory of Spread-Spectrum Communications-A Tutorial," Transactions on Communications, vol. COM-30, No. 5, May, 1982, pp. 855-884.|
|14||Request for Continued Examination and Amendment After Final Rejection in U.S. Appl. No. 10/377,170, dated Jan. 27, 2006.|
|15||Schreiber et al., "A Compatible High-Definition Television System Using the Noise-Margin Method of Hiding Enhancement Information," SMPTE Journal, Dec. 1989, pp. 873-879.|
|16||Sheng et al., "Experiments on Pattern Recognition Using Invariant Fourier-Mellin Descriptors," Journal of Optical Society of America, vol. 3, No. 6, Jun., 1986, pp. 771-776.|
|17||Sklar, "A Structured Overview of Digital Communications-a Tutorial Review-Part I," IEEE Communications Magazine, Aug., 1983, pp. 1-17.|
|18||Sklar, "A Structured Overview of Digital Communications-a Tutorial Review-Part II," IEEE Communications Magazine, Oct., 1983, pp. 6-21.|
|19||Szepanski, "A Signal Theoretic Method for Creating Forgery-Proof Documents for Automatic Verification," in Proceedings of the 1979 Carnahan Conference on Crime Countermeasures, University of Kentucky, Lexington, KY, May 16-18, 1979, pp. 101-109.|
|20||Szepanski, "Binary Data Transmission Over Video Channels with Very Low Amplitude Data Signals," Fernseh- und Kino-Technik, vol. 32, No. 7, Jul., 1978, pp. 251-256. (German text with full English translation).|
|21||Szepanski, "Compatibility Problems in Add-On Data Transmission for TV-Channels," 2d Symp. and Tech. Exh On Electromagnetic Compatibility, Jun. 28, 1977, pp. 263-268.|
|22||Szepanski, "Optimization of Add-On Signals by Means of a Modified Training Algorithm for Linear Classifiers," IEEE Int'l Symp. On Info. Theory, Oct. 10, 1977, pp. 27-28.|
|23||Szepanski, Additive Binary Data Transmission for Video Signals, Conference of the Communications Engineering Society, 1980, NTG Technical Reports, vol. 74, pp. 343-351. (German text with full English translation).|
|24||Tanaka et al., "A Visual Retrieval System with Private Information for Image Database," International Conference on DSP Applications and Technology, Oct. 1991, pp. 415-421.|
|25||Tanaka et al., "Embedding Secret Information Into a Dithered Multi-Level Image," Proc. IEEE Military Comm. Conf., Sep. 1990, pp. 216-220.|
|26||Tanaka et al., "Embedding the Attribute Information Information into a Dithered Image," Systems and Computers in Japan, vol. 21, No. 7, 1990, pp. 43-50.|
|27||Tanaka et al., "New Integrated Coding Schemes for Computer-Aided Facsimile," Proc. IEEE Int'l Conf. on Sys. Integration, Apr. 1990, pp. 275-281.|
|28||Wagner, "Fingerprinting," IEEE, 1983, pp. 18-22.|
|29||Xydeas et al., "Embedding Data Into Pictures by Modulo Masking," IEEE Transactions on Communications, 1984, vol. COM-32, No. 1, pp. 56-69.|
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|International Classification||G06T7/00, H04N7/08, G09C5/00, H04N1/387, H04N7/26, H04N7/081, H04N1/40, G06T1/00, G06T9/00, H04K1/00, G07F7/12, H04N1/32, G07D7/20, G07D7/00, G07D7/12|
|Cooperative Classification||H04N1/32229, G07D7/008, G07F7/08, G06Q20/341, G07D7/2008, G07D7/12, H04N2201/327, H04N2201/3233, H04N1/32203, G06T2201/0051, H04N1/32208, H04N1/32288, G06T1/0028, G06T1/0064, H04N1/32245, G07D7/20, G07F7/12, H04N1/3232, G07D7/2033, G06T2201/0081, H04N2201/3235, G07D7/0033, H04N1/32251|
|European Classification||H04N1/32C19B3E, H04N1/32C19B3E4, G07D7/20F2, G07F7/12, G07D7/00F6C, H04N1/32C19B6, H04N1/32C19B3G, G06T1/00W6G, H04N1/32C19B3B, G07D7/20B, G06Q20/341, H04N1/32C19B9, G06T1/00W2, G07D7/12, H04N1/32C19B3, G07D7/20, G07D7/00B8, G07F7/08|
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